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Cited by 498

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Growth Factors Engineered for Super-Affinity to the Extracellular Matrix Enhance Tissue Healing

Open access
Martino, Mikaël M., Briquez, Priscilla S., Güç, Esra, Tortelli, Federico, Kilarski, Witold W., Metzger, Stephanie, Rice, Jeffrey J., Kuhn, Gisela A., Müller, Ralph, Swartz, Melody A., Hubbell, Jeffrey A.·2014·Science

Abstract

Toward Successful Tissue Repair: The therapeutic use of growth factors in tissue regeneration has suffered from safety and efficacy issues. Reasoning that the unmet potential may be because of nonphysiological delivery, Martino et al. (p. 885 ) engineered growth factors to bind strongly to extracellular matrix proteins. These variants were able to induce superior tissue repair, compared to the wild-type proteins. Furthermore, unwanted side effects were decreased: For example, the engineered angiogenic growth factor VEGF showed reduced vascular permeability, a concern that has limited the therapeutic efficacy of wild-type VEGF.

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Crossref · 10.1126/science.1247663

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Metadata

Authors
Martino, M. M., Briquez, P. S., Güç, E., Tortelli, F., Kilarski, W. W., Metzger, S., Rice, J. J., Kuhn, G. A., Müller, R., Swartz, M. A., & Hubbell, J. A.
Venue
Science
Published
2014-02-21
Volume
343
Issue
6173
Pages
885-888
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1844882096
Cited by
498
References
5
FWCI
44.30
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Growth Factors Engineered for Super-Affinity to the Extracellular Matrix Enhance Tissue Healing. https://app.cochat.ai/papers/10.1126/science.1247663
The paper
Martino, M. M., Briquez, P. S., Güç, E., Tortelli, F., Kilarski, W. W., Metzger, S., Rice, J. J., Kuhn, G. A., Müller, R., Swartz, M. A., & Hubbell, J. A. (2014). Growth Factors Engineered for Super-Affinity to the Extracellular Matrix Enhance Tissue Healing. Science. https://doi.org/10.1126/science.1247663

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.